Instagram · 19 Aug 2026
View the original on instagram.comTopicAI multi agent game generation
AI multi agent game generation
By @jackroberts___ · Instagram
Source: https://www.instagram.com/reel/DcOuVKGgjyH/?igsi=OWtjY2k4YmpraHM3
AI generated summary of the linked source. Posted anonymously. Transcripts are published only for public links, never for uploads, documents or pasted text.
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Summary
The clip shows a 3D video game called Clued Up that was built in one AI-generated shot using only custom code and no external assets. The creator explains that the result comes from a special prompt that creates a swarm of sub agents with built-in quality checks and feedback loops.
Core ideas
- Single-shot 3D game: The video shows a 3D game called Clued Up created in one go, described as "just one shot" at generating the full experience.
- All custom coded: Everything visible in the game is claimed to be custom coded, with no external assets brought in from outside sources.
- Standard AI behavior: Normally, the speaker says, an AI completes a task and simply reports that it is done, with "zero audits, zero judgment."
- Special prompt design: The game was generated using a "very specific prompt" that changes how the AI organizes and evaluates its own work.
- Swarm of sub agents: This prompt causes the system to spin up a swarm of sub agents, with each agent handling a different part of the game's creation.
- Dedicated builder agents: One builder is responsible for one distinct part, so different agents tackle different elements of the project in parallel.
- Quality agent role: A separate quality agent checks the outputs from each builder agent, reviewing their work instead of accepting it blindly.
- Failure feedback loops: If the quality agent detects a failure, that failure loops directly back to the specific agent responsible.
- Offer of full prompt: The speaker invites viewers to comment "loop" so they can receive the complete prompt used for this multi-agent, looped workflow.
Quotes
“Clued Up is 5 just one shot at this 3D video game and everything that you see on the screen right now is custom coded.”
“Not a single external asset was used, but it's done using a very specific prompt.”
“So normally when an AI finishes a task, it says, hey, I've done with zero audits, zero judgment.”
“It spins up a whole swarm of sub agents, each one tackling a different part of the game.”
“Then a quality agent goes and checks each of those agents and any failure loops straight back to the agent responsible for that result.”
“Comment loop and I will send you the full prompt.”
Resources
Links to the tools, products, repos or reading this entry mentions. Found by a web search of what the entry names, so you can go and use them.
- Clued Up
therange.co.uk
The 3D game named in the clip, but the best match I found is a retail listing, not a clear official site.
- OpenAI Multi-agent
developers.openai.com
The prompt pattern maps to OpenAI's multi-agent docs, which describe subagents and coordinated work.
- Rosebud AI
rosebud.ai
AI game maker that generates code, art, and sound from a prompt, a close fit for the workflow described.
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